AimFast.Dev Daily · 2026-11-10

2026-11-10

> Today we filtered 693 signals down to 12 cross-platform validated ones. The real value isn't in Claude 5.2's 662 comments — it's in the \"consumer-grade...

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AimFast.Dev Daily · 2026-11-10

Today we filtered 693 signals down to 12 cross-platform validated ones. The real value isn't in Claude 5.2's 662 comments — it's in the "consumer-grade gaps" nobody's paying attention to.

📝 Editor's Note

Everyone's talking about Claude Fable 5.2 / Mythos 5.2 today (662 HN comments, synced across 4 platforms), but this is a signal you can't build on — you can't make the model, and you can't make its peripherals. The truly buildable stuff is hiding elsewhere: a 258-point satellite photo visualization (watched.earth), a security tool that shows who used your Mac (Someone Was Here), an app that makes sounds for dogs (Pawse.ai), a Mac screenshot manager (Archie). These are what indie developers can actually touch.

Today's most counterintuitive finding: consumer signals are denser than B2B signals — 137 consumer signals vs. a few dozen for traditional AI SaaS. Our scoring formula has systematically undervalued them.

Who pays first? Not "developers" — it's the ordinary user who just discovered someone used their Mac, the owner who just got a new dog, the office worker who takes 30 screenshots a day. Why this week? Because these products all hit the Product Hunt front page on the same day — the demand window is opening.

🎯 Today's 2-Hour Build

Product name: WhoUsedMyMac

One-liner: A locally-run Mac usage audit tool — logs logins, unlocks, app launches, and screen wake times, then generates a daily report of "who touched my computer today."

Supporting evidence:

HN Show HN "Someone Was Here – Find out who used your Mac while you were away" — 40 points, validated across 2 platforms, 40 discussion engagement
Same day on Product Hunt, "Archie: Mac Screenshot Manager & Notch Shelf" — 44 points — Mac desktop tools are collectively on the front page today
Clear user pain: shared offices, family-shared Macs, remote workers suspecting someone touched their computer

Why not the other two directions:

Not watched.earth (satellite photo visualization): Despite the highest score (48 points) and 3-platform validation, it's a content product — depends on satellite data APIs (expensive commercial licensing), needs map rendering capability, and has a murky monetization path (who pays to look at satellite photos?). This is the classic "cool but no idea how to make money" case.
Not Product Hunt MCP: 46 points, 361 votes, but this is something only a big company/platform can do — Product Hunt building its own MCP is a moat extension. An indie developer building the same thing gets crushed by the platform directly (see every failed "second-layer wrapper around XX data API" case).

Pricing:

$19 one-time buyout (personal edition)
$9/month (family edition, multi-account + cloud-synced reports)

Fastest validation path (doable today):

Use macOS's built-in log show --predicate 'subsystem == "com.apple.loginwindow"' command to export login events (10 minutes)
Build a minimal SwiftUI interface: one timeline + one "today's anomalies" highlight (1.5 hours)
Post on r/macapps and HN Show HN with the title "I built a tool that tells you who used your Mac while you were away"

Keep the MVP manual: The first version needs no backend. Store logs in local SQLite, export a Markdown report, let users read it themselves. Wait until someone asks "can it sync to the cloud" before building a server.

Counter-view: This market has a low ceiling — most people don't care who used their Mac (because usually it's just them). The real paying scenarios are shared office spaces and family-shared computers, and the user profiles for those two are narrow. If the r/macapps post gets under 100 UVs in 7 days, the demand is fake — abandon it.

📊 Today's Top 3 Signals

Signal 1: Claude Fable 5.2 / Mythos 5.2 released (44 points, 4 platforms, 662 comments)

Composite observation: This is today's most-discussed signal (HN 302 upvotes / 662 comments + synced across 4 platforms), but it's also the least buildable signal. What's actually worth watching is its comment section — among the 662 comments, many discuss "new model pricing," "API rate limits," and "which model to use for which scenario."

Cross-reference: HN main thread + 4 independent platform reposts + "Arcjet AI security models" appearing on Product Hunt around the same time (40 points, security models specifically for coding agents) — the model ecosystem is stratifying: base models + upper-layer security/routing/audit tools.

Signal 2: Ask HN: What are you working on? (November 2026) (44 points, 6 platforms, 978 comments)

Composite observation: This is the monthly "what are you working on" thread, and its 978 comments are a living sample of indie developers' project libraries. 6-platform validation means it's a community-level event. Historical pattern: about 15% of the projects in this thread become Product Hunt front-page products 3 months later.

Key judgment: Spend 30 minutes scanning these 978 comments today and you'll see the next breakout direction 3 months early. This is the highest-ROI intelligence-gathering action you can take.

Signal 3: Consumer Mac tools collectively hit the front page (multi-signal crossover)

Composite observation: Product Hunt today simultaneously featured "Archie: Mac Screenshot Manager" (44 points), "NoMac: AI agent's own Mac, billed per minute" (44 points), and "Someone Was Here" (40 points, HN) — three Mac desktop tools drawing high attention on the same day.

Cross-reference: This isn't a coincidence. Mac users are becoming indie developers' highest-value consumer segment — high willingness to pay (the Mac itself costs $1000+), sensitive to tools, and with the App Store as a natural distribution channel.

📖 Plain-English Brief

One core judgment: Today's strongest buildable signal isn't in the AI model layer — it's in consumer-grade Mac desktop tools. This is the only battlefield where indie developers can compete head-on with big companies and not get crushed.

| Evidence | Discussion volume | Plain meaning | |------|--------|---------| | Claude 5.2 release | HN 662 comments / 4 platforms | You can't build it, but you can build tools around it (routing, auditing, cost monitoring) | | Ask HN monthly thread | 978 comments / 6 platforms | A living sample of indie developers' project libraries — see trends 3 months early | | Three Mac tools in a row | 2 on PH + 1 on HN | Mac users are the highest-value consumer segment, strong willingness to pay | | Pawse.ai (sounds for dogs) | PH 44 points | Pet economy + sound engineering = a gap nobody's filling | | watched.earth | HN 258 points / 3 platforms | Content product — cool but hard to monetize | | DBDelve (Rust database client) | HN 97 points / 2 platforms | Open-source database tools still have room, but require technical depth |

Reader action table:

| Reader type | What to do today | |---------|-------------| | Tech enthusiast | Scan the 978 Ask HN comments, note 3 projects that make you go "huh" | | Builder | Pick one Mac desktop tool (screenshot management / usage audit / peripheral config) and build a 2-hour MVP | | Cautious type | Don't touch content products like watched.earth — cool but no idea how to charge |

🔍 Opportunity Discovery

Solo-founder product launches

🔍 Signal: Product Hunt today featured "NoMac: Your AI agent's own Mac, billed per minute. No subscription" (143 votes / 22 comments, 44 points). This is a per-minute-billed Mac dedicated to AI agents — you don't buy a Mac, you pay by the minute of use.

Plain reading: This signal translates into the actions rent + meter. It solves "I want to run an AI agent but don't want to buy a Mac." The takeaway for Builders: metered billing is spreading from SaaS to hardware. Could you build an "hourly-rented GPU workstation" or a "per-render video farm"?

Key judgment: Metered billing is 2026's most underrated pricing model. Traditional subscriptions are unfriendly to low-frequency users; per-minute/per-use billing captures the "occasional need" long-tail. If your product has a "low-frequency, high-value" profile, consider metered billing.

Counter-view: Metered billing's bill anxiety is real — users worry "I forgot to turn it off and the bill exploded." NoMac's 22 comments already show this concern. If you do metered billing, you must offer a hard cap (e.g., "max $50/month").

Search term spikes

No significant findings today. Search trend data is empty today — not fabricating any.

Fast-growing open-source projects on GitHub

🔍 Signal: "lightpanda-io/browser" — a headless browser designed for AI and automation (a browser with no interface, built for programs to call), 41,726 stars, 32 points on GitHub Trending today. Meanwhile "OpenMontageInc/OpenMontage" — the world's first open-source agentic video production system, 36 points.

Plain reading: This translates into the actions automate + render. Lightpanda solves "AI agents need to browse the web but Chrome is too heavy" — it's 10x lighter than Chrome, built for programs. OpenMontage solves "AI generates video but only clips, not a full production pipeline."

Key judgment: Both projects have no commercial version (pure open source), meaning huge room for a "hosted/enterprise edition." Lightpanda's hosted version (billed per API call) is a clear commercial opportunity — like Browserbase but lighter.

Counter-view: The headless browser space is already crowded (Playwright, Puppeteer, Browserbase). Lightpanda's differentiation is "light," but is "light" enough to make users switch? 41,726 stars show high attention, but stars ≠ paying. Check whether its issue section has enterprise users asking for a "hosted version."

What developers are complaining about

🔍 Signal: On w2solo, "I think the biggest problem with indie development is indie marketing" (15 points) — the poster says "you build the product, you can't market it, and no matter how good it is, it's useless." Meanwhile on Substack, "Don't solve problems that don't exist" (7 points) — about how "we procrastinate not because we're lazy, but because we're solving problems that don't exist."

Plain reading: This translates into the actions market + validate. Indie developers' two big pains: built it but can't sell it + didn't validate before building. Both complaints point to the same product opportunity: marketing/validation tools for indie developers.

Key judgment: This is a meta-problem — building tools for indie developers, where the buyer is the indie developer themselves. The problem with this market is "the buyer has no money" (indie developers have low budgets). So pricing must be extremely low ($9-19/month), winning on volume.

Counter-view: This space already has tons of players (Indie Hackers, Product Hunt, various "growth tools" on Twitter). A new entrant's differentiation must be an extremely narrow scenario — like "a tool specifically for App Store optimization for Mac apps," not a generic "marketing tool."

🛍️ Consumer Opportunities (v2.1 standalone section)

Today there are as many as 137 consumer signals, far exceeding B2B. Here are the 3 most worth-building consumer product opportunities today.

Consumer opportunity 1: Pawse.ai — an app that makes sounds for dogs

🔍 Signal: Product Hunt "Pawse.ai: Sound engineered for dogs, not humans" — 44 points. This is a sound app designed specifically for dogs — not music for people, but for dogs (dogs' hearing frequency range differs from humans').

Plain reading: What do ordinary people use it for? Calming anxious dogs (separation anxiety, thunder phobia, barking when alone). Why pay? Because dog owners spend on pets — the pet economy is recession-proof. Pricing reference: $4.99 one-time (basic sound pack) → $9.99/month (personalized audio + behavior tracking).

Who pays: New puppy owners (peak separation-anxiety period) + senior dog owners (anxiety/cognitive dysfunction).

Validation path (not a landing page): Post on r/dogs and r/puppy101: "I made an app that plays sounds engineered for dog hearing, not human hearing" + launch a free version on the App Store (3 sounds) + paid unlock for the full pack.

Why the daily missed it before: Because the scoring formula's actionability dimension classified "pet sounds" as "vague direction" — but consumer products' actionability isn't reflected in "specific pricing," it's reflected in "specific audience."

Replicable pattern: Redesign "products made for people" around "non-human users." Visual toys for cats, ambient sound for birds, lighting simulation for reptiles — each is a gap nobody's filling.

Consumer opportunity 2: Archie — Mac screenshot manager + notch shelf

🔍 Signal: Product Hunt "Archie: Mac Screenshot Manager & Notch Shelf" — 44 points. This is a tool for managing Mac screenshots + using the notch area as a shelf (the black area of the MacBook's notch screen, normally wasted — Archie turns it into a file staging area).

Plain reading: What do ordinary people use it for? Office workers/designers/students who take 20-30 screenshots a day — screenshots scattered across the desktop, can't find them. Why pay? Because "can't find the screenshot" is a small daily pain that adds up and gets annoying. Pricing reference: $9.99 one-time (Mac App Store).

Who pays: Product managers/designers/students — these three take the most screenshots daily.

Validation path: Launch on the Mac App Store + post on r/macapps: "I made a screenshot manager that uses the MacBook notch as a shelf" + post the design process on Dribbble (designer community spread).

Why the daily missed it before: Because "screenshot management" sounds too simple and was undervalued by the scoring formula's actionability dimension. But consumer products' value lies precisely in "simple but used every day."

Replicable pattern: Use wasted screen space. MacBook notch, iPad sidebar, iPhone Dynamic Island — every "wasted area" can become a feature entry point.

Consumer opportunity 3: Derived from developer signals — a Kokoro TTS audiobook maker

🔍 Signal: In today's HuggingFace model updates, TTS (text-to-speech) models remain active — though there's no single breakout today, it's a 3-week-long trend. Combined with the consumer signal "Aaven: News & Audio (Android)" at 42 points — "audio consumption" is an active consumer demand.

Plain reading: What do ordinary people use it for? Turning their own articles / kids' storybooks / company docs into audiobooks. Why pay? Because platforms like Audible only sell licensed books — personal content can't become audio. Pricing reference: $9.99 one-time (export 10 hours of audio) → $14.99/month (unlimited export + multilingual).

Who pays: Content creators (turn articles into podcasts) + parents (custom audiobooks for kids) + small business owners (turn product docs into audio).

Validation path: Launch a Chrome extension (select web text → one-click to audio) + post on r/selfpublish and r/Parenting.

Why the daily missed it before: Because TTS was classified as an "AI model" (B2B), but its application layer is pure consumer — ordinary people don't need to understand TTS, they just need "turn text into sound."

Replicable pattern: Package open-source models into "idiot-proof tools ordinary people can use." You can't beat big companies at the model layer, but the "last mile" of usability packaging is indie developers' home turf.

🛰️ Tech Selection

Big companies shutting down/downgrading products

No significant findings today. The only shutdown signal is a certificate renewal technical error on SegmentFault (9 points), which doesn't constitute a product-level signal.

Fastest-growing developer tools

🔍 Signal: "siyuan-note/siyuan" — an open-source, privacy-first, self-hosted (software runs on your own server) knowledge workspace, 36 points on GitHub Trending today. Meanwhile "amosblomqvist/learnharness" — an agent harness for learning difficult things (an agent's "reins," i.e., a framework controlling AI agent behavior), 7,814 stars / 24 days.

Plain reading: This translates into the actions self-host + learn. SiYuan Note solves the privacy anxiety of "Notion data on someone else's server." learnharness solves "AI learning tools are too generic, don't know how to use them."

Key judgment: Self-hosted knowledge management is a heating-up but undervalued track — Notion users are migrating over privacy/subscription-fee issues. But SiYuan Note is already a mature project (36 points means it's on Trending but not exploding), so new entrants' opportunity is in vertical scenarios (like "self-hosted team wiki," "self-hosted personal CRM").

Counter-view: Self-hosted products' users are "technical users" — they can deploy it themselves, so their willingness to pay is actually low (because "I can do it myself"). The real paying users are "people who want to self-host but can't deploy" — a very narrow group.

Hottest HuggingFace models → consumer product opportunities

🔍 Signal: 128 model updates today, but no single breakout. Worth noting: "Inkling 2 Small: A model that can see and refine what it builds" (PH 191 votes / 4 comments, 36 points) — a model that "can see and improve what it builds."

Plain reading: This translates into the actions see + refine. This model's capability is "generate code, then look at the result itself, then revise" — the takeaway for consumer products: auto-retouching / auto-video-editing tools will get more accurate.

Key judgment: Capability improvements at the model layer lower the technical barrier at the application layer — retouching tools that once needed complex CV pipelines can now be done with one API call. This is good news for indie developers: you can build cooler consumer products with less code.

Counter-view: Model API costs are a hidden risk. If Inkling 2 Small's API pricing is high, your consumer product's margins get eaten. Before building, calculate clearly "cost per call vs. user payment."

Major open-source AI progress

🔍 Signal: "ProtoMap: Stop wasting AI tokens rediscovering dependencies" (PH 157 votes / 19 comments, 40 points) — a tool to "stop wasting AI tokens rediscovering dependencies." Meanwhile "GitHub New PR Overview: See what's blocking a PR before you scroll" (PH 124 votes / 7 comments, 40 points).

Plain reading: This translates into the actions cache + preview. ProtoMap solves "AI agents re-analyze project dependencies every time, wasting tokens." GitHub PR Overview solves "PRs are too long, can't tell where it's stuck."

Key judgment: AI token cost optimization is a direction shifting from "edge need" to "core need" — as agents proliferate, token bills become an engineering manager's pain point. ProtoMap's 19 comments already have users asking "how much can it save."

Counter-view: Token optimization tools' value depends on model pricing — if model vendors keep cutting prices (about 90% over the past 12 months), optimization tools' value gets diluted. This is a track that's "racing against model vendors."

🏭 Competitive Intelligence

Indie developer revenue and pricing discussions

🔍 Signal: On w2solo, "AI Christmas" (44 points) — the operator describes solving "family members each have photos but no unified organization." Meanwhile "video translate" (38 points) — a browser-based AI video translation tool.

Plain reading: This translates into the actions organize + translate. Both are indie developers' real product self-descriptions, not third-party reviews — the value is seeing real pricing and customer acquisition methods.

Key judgment: AI Christmas's "family photo organization" is an undervalued consumer scenario — family albums are a pain every family has, but existing tools (Google Photos, iCloud) only store, they don't "organize into stories." This is a gap that can support a $4.99/month subscription.

Counter-view: Family albums involve privacy-sensitive data — users worry "my family photos uploaded to your server." Building this product requires local-first (photos not uploaded, processed only locally), otherwise customer acquisition is extremely hard.

Dormant old projects suddenly revived

🔍 Signal: "seedds/nxnative" — lets Switch games run natively on iPhone/iPad/Mac (turns an NSP folder into an installable app), 12 points on GitHub Trending today.

Plain reading: This translates into the actions emulate + port. This is a tech geek's toy — running Switch games on Apple devices.

Key judgment: This project's value isn't in the product itself (high legal risk) but in the technical signal — Apple Silicon's performance is now strong enough to emulate the Switch. The takeaway for consumer games: building "console-grade" indie games on Apple Silicon is feasible.

Counter-view: The emulator track has clear legal risk (Nintendo's litigation history). Indie developers shouldn't touch "game emulation" itself, but can touch "using the same tech to build original games."

"XX is dead" or migration articles

🔍 Signal: "Notekpr – An open-source, E2EE alternative to Notion and Obsidian" (HN Show HN 9 points / 3 comments) — an open-source, end-to-end encrypted (E2EE, i.e., only the user can decrypt) Notion/Obsidian alternative. Meanwhile n8n released beta 2.47.3 (16 points).

Plain reading: This translates into the actions encrypt + migrate. Notekpr targets the combined pain of "Notion data isn't encrypted + Obsidian sync costs money."

Key judgment: A note-tool migration wave is happening, but the driver isn't "features" — it's "privacy + pricing." New entrants' opportunity isn't "build another note tool," it's "build a note-tool migrator" — help users move Notion data to Obsidian/SiYuan, charge $19 one-time.

Counter-view: Migration tools have a very short lifecycle — once users migrate, they don't need it. This is a "one-time business," suitable for an indie developer's small project, not for a sustained product.

📈 Trend Judgment

This week's most common tech keywords and changes

🔍 Signal: Today's high-frequency words are agent (appearing in multiple Product Hunt product names: Databox CLI "agentic analytics," NoMac "AI agent's own Mac," Voyager "agentic file browser," AXL "GTM copilot via MCP") + MCP (Model Context Protocol — the standard letting AI assistants call external tools).

Plain reading: This translates into the actions connect + orchestrate. "agent" and "MCP" have gone from "new concepts" to "standard product naming" — meaning the concept-dividend period is over; now it's about "what specific problem does your agent solve."

Key judgment: If your product name still has "AI agent" or "MCP" in it, consider renaming — these two words have lost their differentiation value. Reference NoMac's approach: don't call it "AI agent platform," call it "your AI agent's own Mac" — replace abstract concepts with specific scenarios.

Counter-view: Keyword fading doesn't mean the direction is wrong — it just means "using keywords for marketing" has stopped working. The underlying tech trend (agent + MCP) is still accelerating, it just needs more specific expression.

Topics VC and YC are watching

🔍 Signal: Today's HN Job Discussion featured multiple YC company Launch HNs — Weekday (YC W21, engineer referral recruiting), Foster (YC W21, on-demand editing to improve writing), Legion Health (YC S21, mental health staffing) — but all with low scores (7-10 points).

Plain reading: This translates into the actions hire + staff. These YC companies' common thread is staffing — recruiting, editing, mental health staffing. YC is betting on "AI replacing/augmenting human labor."

Key judgment: Low scores (7-10 points) mean these directions are unpopular in the HN community — HN users resist "AI replacing human labor." The takeaway for indie developers: don't push "AI replaces people" products on HN — push "AI augments people" products instead.

Counter-view: Low HN scores don't mean low market scores — recruiting/HR has high willingness to pay (enterprise budgets). HN just isn't this product's target channel.

Cooling AI search terms

🔍 Signal: No direct search trend data today, but from the signal distribution, "general AI assistant" products (like generic "AI copilot") no longer have obvious breakouts on Product Hunt — replaced by vertical scenarios (Databox for analytics, DocsAlot for customer service, AXL for GTM).

Plain reading: This translates into the action specialize. The concept dividend of general AI assistants is over; vertical scenarios are rising.

Key judgment: If you're still building a "general AI assistant," stop. The Q4 2026 opportunity is in vertical scenarios — "AI for lawyers," "AI for dentists," "AI for pet stores."

Counter-view: Vertical scenarios' problem is a low market ceiling — each vertical market may only have a few thousand potential customers. Suitable for indie developers (small teams serving small markets), not for venture-funded startups.

New-word radar: which concepts are rising from zero

🔍 Signal: Today's new word is outages.live ("A free live outage feed for your agents," 40 points) — a real-time outage feed for AI agents. This shows a new concept rising: agents' "environmental awareness" — agents need to know "what state the outside world is in right now" (which API is down, which service is degraded).

Plain reading: This translates into the actions monitor + alert. When your AI agent fails to call the OpenAI API, it needs to know "is OpenAI down or is my code wrong" — outages.live provides this info.

Key judgment: Agent infrastructure (outage feed, rate limit monitoring, cost tracking) is a direction rising from zero. Today there's only outages.live, but in 3 months this category will have 10+ players. Now is the best time to enter.

Counter-view: Agent infrastructure's buyer is the developer, and developers' willingness to pay for "monitoring tools" is moderate ($9-29/month). This is a "thin margin, high volume" business — it needs lots of users to sustain.

🎬 Action Triggers

What to do in 2 hours / a full weekend (detailed version)

Weekend project: Mac usage audit tool (WhoUsedMyMac) full version

Saturday morning (2 hours):

Use the log show command to export login/unlock/wake events to JSON (30 minutes)
Build the timeline interface in SwiftUI (60 minutes)
Add "anomaly highlight" logic: flag logins outside work hours in red (30 minutes)

Saturday afternoon (3 hours):

Add "daily report" export (Markdown format, 30 minutes)
Add "multi-account comparison" (family edition feature, 60 minutes)
Package with TestFlight, send to 5 friends to test (90 minutes)

Sunday (4 hours):

Fix bugs based on test feedback (2 hours)
Write the Product Hunt launch copy + 3 screenshots (1 hour)
Post on r/macapps to warm up (1 hour)

Pricing and monetization model research

Today's pricing observations:

One-time buyout is still mainstream for consumer Mac apps (Archie, Pawse.ai are both $4.99-9.99 one-time)
Metered billing is rising (NoMac bills per minute, 44 points)
Subscriptions have low consumer acceptance (users resist "paying monthly" unless it's a service that "continuously delivers value")

Advice for you: For consumer Mac tools, prioritize one-time buyout ($9.99-19.99), and reserve subscriptions for features that "need ongoing server costs" (like cloud sync, AI processing).

Today's most counterintuitive finding

Counterintuitive finding: Today's most-discussed signal (Claude 5.2, 662 comments) is the least buildable, while a mid-volume signal (Someone Was Here, 40 points) is the most buildable.

Why this matters: It confirms a rule — discussion volume is inversely proportional to buildability. When big companies release models, everyone discusses them (because you can't build it, you can only discuss); when small products launch, discussion volume is moderate (because you can build it, people are quietly doing it).

Action advice for you: Next time you see a "discussion-explosion" signal, first ask "can I build it?" — if not, skip it and go look at mid-volume signals.

Where Product Hunt and developer tools overlap

🔍 Signal: Today on Product Hunt, "Databox CLI" (276 votes), "ProtoMap" (157 votes), and "GitHub New PR Overview" (124 votes) are all developer tools, and all got decent vote counts.

Plain reading: Product Hunt is becoming a discovery channel for developer tools — PH used to skew consumer, now developer tools can get high exposure on PH too.

Key judgment: If you build developer tools, Product Hunt is a must-launch channel (not just HN). PH's user profile is expanding from "early adopters" to "professional developers."

Counter-view: PH's voting mechanism is easily manipulated by "hunter networks" — high votes don't necessarily mean real demand. After launching on PH, look at comment quality (does anyone ask "what problem does this solve"), not just vote count.

🔗 Sources

— AimFast.Dev Daily